This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
Cloud Foundry has become the industry standard platform for cloud applications. IBM, HPE, Pivotal, SAP, and many others contribute to this multi-cloud open source project to enable continuous delivery for all companies.
This document provides an introduction to Docker and containerization. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. An overview of the Docker ecosystem tools.
3. Instructions for installing and using the Docker Engine and Docker CLI to build, run, and manage containers.
4. A demonstration of using Docker Hub to build and store container images.
5. An introduction to Docker networking and volumes.
6. A demonstration of using Docker Compose to define and run multi-container applications.
7. Suggestions for further learning resources about Docker.
Cloud Foundry has become the industry standard platform for cloud applications. IBM, HPE, Pivotal, SAP, and many others contribute to this multi-cloud open source project to enable continuous delivery for all companies.
Phil Estes is a senior technical staff member at IBM who is involved in open source software including Linux, containers, and cloud technologies. He discusses his work contributing to Docker and the Open Container Initiative (OCI). The OCI is a Linux Foundation project that aims to create open standards for container runtimes and image formats. Estes helped bring features like user namespaces to Docker and helped design the multi-platform image specification. He also discusses runc, an OCI-compliant runtime that is used as the backend for Docker and CloudFoundry containers. Estes believes runc can continue to drive innovations in container features and implementations on different platforms and architectures.
Building Distributed Systems without Docker, Using Docker Plumbing Projects -...Patrick Chanezon
Docker provides an integrated and opinionated toolset to build, ship and run distributed applications. Over the past year, the Docker codebase has been refactored extensively to extract infrastructure plumbing components that can be used independently, following the UNIX philosophy of small tools doing one thing well: runC, containerd, swarmkit, hyperkit, vpnkit, datakit and the newly introduced InfraKit.
This talk will give an overview of these tools and how you can use them to build your own distributed systems without Docker.
Patrick Chanezon & David Chung, Docker & Phil Estes, IBM
Devoxx 2016: A Developer's Guide to OCI and runCPhil Estes
A talk given at Devoxx 2016 in Antwerp, Belgium on November 7th, 2016. This talk covers the OCI (Open Container Initiative), status of the runtime and image specifications, and tools like runC and ocitools, as well as components like "riddler" and "netns" for using the OCI components as an application developer.
An overview of software engineering project (MSc Thesis) to objectively evaluate the benefits and drawbacks of using Model-Driven Engineering tools on Eclipse Modelling Framework (EMF) such as Epsilon and Xtext to implement a compiler for a sufficiently complex intermediate language. The results seem promising.
For more imnformation, please see this blog post:
http://modeling-languages.com/re-implementing-apache-thrift-with-mde/
Go is an open source programming language designed by Google to be concurrent, garbage collected, and efficient. It has a simple syntax and is used by Google and others to build large distributed systems. Key features include garbage collection, concurrency with goroutines and channels, interfaces without inheritance, and a large standard library.
Thesis: Slicing of Java Programs using the Soot Framework (2006) Arvind Devaraj
A Static Slicing Tool for sequential Java programs
Masters thesis at IISc
Specialization topics: Compiler Design / Program Analysis / Pointer analysis / Java program optimization
Slicing is a technique used to identify the program subset that could affect a particular statement of interest called the slicing criterion. Slicing has applications in program understanding, testing, model checking and functionality extraction. For computing a slice, we need to compute dependence information among statements. In object oriented languages, finding dependence information becomes non-trivial because of language features like inheritance, objects, polymorphism, dynamic binding and so forth. We develop a method for computing slices in object oriented programs for application in regression testing. In particular we propose a new method for intraprocedural alias analysis for Java and implement an interprocedural slicing technique using the system dependence graph of Horwitz et al. 1
Container Microservices: A Holistic Look at Managing Containers for Microservices discusses containers and microservices. It explores Docker and Cloud Foundry for managing containers and describes their workflows. It also explains Diego Cell and Brain, which are components of Cloud Foundry that manage containers and applications on cells.
This document contains brief knowledge about the concept of "Singleton Class in Java". This is the best, I can come up with.
So, please go through it and if I have missed anything related to topic. Let me know. Thanks.
The document discusses microservices and the use of Golang for building microservices. Some key points:
- Microservices are small, independent services that work together, organized around business capabilities. Golang is well-suited for building microservices due to its static compilation, concurrency features, and standard library support for web development.
- The document discusses why the authors chose Golang for microservices, highlighting Golang's static compilation, lack of external dependencies, easy concurrency with goroutines, and standard library support for networking, JSON, protocols, and more.
- It provides examples of building simple microservices in Golang, including a hello world service and a basic HTTP server, and discusses how middleware
Modern Web 2016: Using Golang to build a smart IM Bot Evan Lin
Evan Lin presents on using Golang to build smart instant messaging bots. The key points covered include:
1. What instant messaging bots are and how they work using a webhook to an HTTPS server.
2. Why Golang is a good choice for building bots, highlighting its speed, concurrency, and tooling.
3. Steps to build bots for Line and Facebook Messenger, deploying examples to Heroku for easy hosting.
4. Using natural language processing with LUIS to build smarter bots that can understand intent and entities.
5. The future of bots interacting directly without APIs and their potential uses for customer service and businesses.
Diving Through The Layers: Investigating runc, containerd, and the Docker eng...Phil Estes
A presentation given on Thursday, January 19th, 2017 at the Devops Remote Conf 2017. This talk details the history of the Docker engine architecture, focusing on the split in April 2016 into the containerd and runc layers, and talking through the December 2016 announcement of the *new containerd project and what it will bring for the Docker engine and other consumers.
A brief description of a software architecture based on golang micro services.
The keynote was shown during the Golangit meetup @ Codemotion Rome 2015 event on March 27th 2015.
BUD17-302: LLVM Internals #2
Speaker: Renato Golin, Peter Smith, Diana Picus, Omair Javaid, Adhemerval Zanella
Track: Toolchain
★ Session Summary ★
Continuing from LAS16 and, if we have time, introducing global isel that we’re working on.
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★ Resources ★
Event Page: http://connect.linaro.org/resource/bud17/bud17-302/
Presentation:
Video:
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★ Event Details ★
Linaro Connect Budapest 2017 (BUD17)
6-10 March 2017
Corinthia Hotel, Budapest,
Erzsébet krt. 43-49,
1073 Hungary
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http://connect.linaro.org
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Linux-wpan: IEEE 802.15.4 and 6LoWPAN in the Linux Kernel - BUD17-120Linaro
"Session ID: BUD17-120
Session Name: Linux-wpan: IEEE 802.15.4 and 6LoWPAN in the Linux Kernel - BUD17-120
Speaker: Stefan Schmidt
Track: LITE
★ Session Summary ★
Adding support for IEEE 802.15.4 and 6LoWPAN to an embedded Linux system opens up new possibilities to communicate with tiny devices. The mainline kernel
supports the wireless protocols to connect such devices to the internet, acting
as border router for such networks.
This talk will show the current kernel support, how to enable and configure the
subsystems to use it and how to communicate between Linux and IoT operating
systems like RIOT, Contiki or Zephyr.
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★ Resources ★
Event Page: http://connect.linaro.org/resource/bud17/bud17-120/
Presentation: https://www.slideshare.net/linaroorg/linuxwpan-ieee-802154-and-6lowpan-in-the-linux-kernel-bud17120
Video: https://youtu.be/6YNeF2H2i-U
---------------------------------------------------
★ Event Details ★
Linaro Connect Budapest 2017 (BUD17)
6-10 March 2017
Corinthia Hotel, Budapest,
Erzsébet krt. 43-49,
1073 Hungary
---------------------------------------------------
Keyword: linux-wpan, kernel, IEEE, Stefan Schmidt
http://www.linaro.org
http://connect.linaro.org
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https://www.linkedin.com/company/1026961"
Go 語言入門介紹,底下是大綱:
* Go 語言誕生
* Go 語言優勢
* Go 語言選擇
* 誰在用 Go 語言
最後會提到 goroutine 及 channel 這兩大特性。如果對 Go 語言有興趣,可以參考線上課程
https://www.udemy.com/golang-fight/?couponCode=GOLANG-INTRO
A simple introduction for basic use of git and git hub.
Since I'm a rookie to Git, If there is anything wrong, please contact me.
Hope you'll enjoy it.
This document summarizes machine learning concepts in Spark. It introduces Spark, its components including SparkContext, Resilient Distributed Datasets (RDDs), and common transformations and actions. Transformations like map, filter, join, and groupByKey are covered. Actions like collect, count, reduce are also discussed. A word count example in Spark using transformations and actions is provided to illustrate how to analyze text data in Spark.
This document provides an overview of computer vision and OpenCV. It discusses topics like optical character recognition, face detection, object recognition, shape capture and motion capture, self-driving cars, interactive games, industrial robots, and medical imaging. It then covers OpenCV concepts like image manipulation, transformations, edge detection, feature detection, histogram of oriented gradients, object tracking, and face detection. Code examples are provided for tasks like webcam sketching, contour detection, line detection, and facial merging.
This document contains notes from a presentation or workshop on Django and Python web development. It discusses setting up a Django project and various apps, including creating models, views, templates, and interacting with the admin site. It also covers using the Django shell, adding forms and generic views, and building several example apps, such as a blog, CMS, and photo album app.
This document introduces PyOpenCL and provides examples for using it to perform GPU computing via Python. It begins with an overview of GPU computing and OpenCL. It then discusses setting up the PyOpenCL environment on different platforms like Windows, MacOS, and Linux. Examples shown include printing "Hello Taiwan" on the GPU, performing arithmetic operations on arrays in parallel, and image processing tasks like grayscale conversion and blurring using OpenCL data types and memory models. Atomic functions and synchronization are also covered.
1. The document summarizes the topics covered in an advanced Docker workshop, including Docker Machine, Docker Swarm, networking, services, GitLab integration, Raspberry Pi IoT applications, Docker Compose testing, and Moby/LinuxKit.
2. It provides instructions on using Docker Machine to create a Swarm cluster on Azure VMs and initialize a Swarm manager.
3. Exercises are presented on Docker networking, creating and scaling services, rolling updates, stacks, and Swarm with MySQL and WordPress.
廣宣學堂: R programming for_quantitative_finance_0623 Paul Chao
This document provides an overview of using R for quantitative finance. It discusses R's history and popularity, basics of R including vectors, matrices, data frames and lists. It also covers exploratory time series analysis, stock trading strategies, correlation analysis, ARIMA modeling and forecasting, and querying the Bitcoin blockchain with R packages. The document is intended to introduce analysts to capabilities of the R programming language for financial applications.
This document provides an overview of Docker concepts and tools for beginners. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. Tools in the Docker ecosystem such as Docker Engine, Docker CLI, Docker Hub, Docker Compose, and networking/volume commands.
3. Examples of using Docker Engine, Docker Hub for images, networking, volumes and deploying images to Azure PaaS.
4. How to use Docker Compose to define and run multi-container applications.